VIDEO
From Proof-of-Concept to Production: Bridging the Gap in Scientific Software Development
The rise of open-source scientific Python has transformed how chemists and materials scientists work, with researchers routinely using automation, predictive modeling, and AI-driven analysis to accelerate discovery. As AI makes it easier than ever to rapidly "vibe code" proof-of-concept applications, R&D leaders face a widening digital gap between promising prototypes and robust, maintainable production systems. In this exclusive presentation, Ben Luginbuhl, PhD, identifies the root causes of this challenge, clarifies the key differences between PoCs and production-ready systems, and shares proven strategies for converting grassroots innovation into lasting business impact.
Enthought helps companies all over the world solve complex data challenges unique to enterprise scientific R&D by leveraging advanced technologies that accelerate innovation and transform the business. We bring an unparalleled blend of expertise and experience in advanced AI/ML techniques, scientific research and data, and business strategy. Enthought is headquartered in Austin, Texas, USA with additional offices in Tokyo, Japan; Cambridge, United Kingdom; and Zürich, Switzerland.